Evaluating Variable Selection and Machine Learning Algorithms for Estimating Forest Heights by Combining Lidar and Hyperspectral Data.
Sanjiwana ArjasakusumaSandiaga Swahyu KusumaStuart R. PhinnPublished in: ISPRS Int. J. Geo Inf. (2020)
Keyphrases
- machine learning algorithms
- variable selection
- hyperspectral data
- hyperspectral
- benchmark data sets
- random projections
- hyperspectral images
- hyperspectral imagery
- machine learning
- dimension reduction
- high dimensional
- cross validation
- learning algorithm
- decision trees
- machine learning methods
- model selection
- learning problems
- remote sensing
- multispectral
- learning tasks
- feature selection
- infrared
- high dimensional data
- learning models
- spatial resolution
- satellite images
- target detection
- image processing
- neural network
- high dimensionality
- high resolution
- principal components
- dimensionality reduction
- active learning
- text classification
- mutual information